This paper presents an intuitionistic fuzzy (IF) rough relational database model. The IF rough relational database model extends the IF and rough relational database models along with an IF rough relational algebra for querying. The usefulness of this model was illustrated with the Diabetic patients of Tripura where the various types of uncertainties are presented. For this study, first we design our database with an IF rough E-R diagram, created our database schema using an IF rough data definition and manipulation language (DDL and DML). Using IF Rough SQL-like languages, we then illustrate how the IF rough relational database may be queried and how the results are better than those of conventional databases. © 2013 Springer-Verlag.
CITATION STYLE
Gangwal, C., Bhaumik, R. N., & Kumar, S. (2013). Applications of IF rough relational model to deal with diabetic patients. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8170 LNAI, pp. 191–199). https://doi.org/10.1007/978-3-642-41218-9_20
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